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Remote Google Machine Learning Engineer Jobs in Florissant, MO

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$160K - $190K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

Varsity Tutors

Python Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Cigna

Data Science Advisor - Hybrid

Saint Louis, MO · On-site +1

Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. * Experience developing predictive ...

BAI

Software Engineer

Saint Louis, MO · On-site +1

$75K - $95K/yr

Our industry-leading offerings include peer sharing events, thought leadership, learning and ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

BAI

Advanced Software Engineer

Saint Louis, MO · On-site +1

$85K - $115K/yr

Our industry-leading offerings include peer sharing events, thought leadership, learning and ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

S2Tech

Mainframe Developer (Remote)

Chesterfield, MO · Remote

$48.50 - $62.25/hr

Mainframe Developer Location: Remote About Us : Known for "Delighting the Client" through ... Various training courses to promote continuous learning * Corporate Wellness Program * Be part of a ...

S2Tech

Mainframe Developer (Remote)

Chesterfield, MO · On-site +1

$48.50 - $62.25/hr

Mainframe Developer Location: Remote About Us : Known for "Delighting the Client" through ... Various training courses to promote continuous learning * Corporate Wellness Program * Be part of a ...

S2Tech

OnBase Developer (Remote)

Chesterfield, MO · Remote

OnBase Developer Location: Remote - U.S. About Us : Known for "Delighting the Client" through ... Various training courses to promote continuous learning * Corporate Wellness Program * Be part of a ...

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All JobsGoogle Machine Learning Engineer JobsRemote Google Machine Learning Engineer JobsRemote Google Machine Learning Engineer Jobs in Florissant, MO

Remote Google Machine Learning Engineer information

See Florissant, MO salary details

$29.1K

$118.8K

$178.5K

How much do remote google machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote google machine learning engineer in Florissant, MO is $118,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a remote Google machine learning engineer?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What are popular job titles related to Remote Google Machine Learning Engineer jobs in Florissant, MO? For Remote Google Machine Learning Engineer jobs in Florissant, MO, the most frequently searched job titles are:
What job categories do people searching Remote Google Machine Learning Engineer jobs in Florissant, MO look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Florissant, MO are:
What cities near Florissant, MO are hiring for Remote Google Machine Learning Engineer jobs? Cities near Florissant, MO with the most Remote Google Machine Learning Engineer job openings:
Remote Google Machine Learning Engineer jobs near you
Infographic showing various Remote Google Machine Learning Engineer job openings in Florissant, MO as of June 2026, with employment types broken down into 92% Full Time, 3% Part Time, 1% Temporary, and 4% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $118,759 per year, or $57.1 per hour.

Imagery Scientist (EO) - Senior

GRVTY

Saint Louis, MO • On-site, Remote

$160K - $190K/yr

Full-time

Re-posted 20 days ago

Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced imagery scientist to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation. The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

What You'll be Owning

  • Assist the EO lead in conducting assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
  • Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains
  • Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of expert EO imagery exploitation and imagery science experience with understanding of collection, phenomenology, image formation process, and exploitation products.
  • Demonstrated experience in:
    • EO collection systems
    • Remote sensing phenomenology
    • Image formation processes
    • Exploitation products and methodologies
  • Experience exploiting EO imagery to:
    • Detect
    • Identify
    • Locate objects of interest
  • Experience developing and evaluating:
    • Algorithms
    • Scientific workflows
    • Exploitation methodologies
  • Experience automating scientific processing workflows
  • Experience developing and evaluating:
    • Algorithms
    • Automated workflows
    • Scientific exploitation methods
  • Understanding of:
    • Remote sensing principles
    • EO imagery processing
    • Advanced exploitation methods
    • Sensor/platform limitations and advantages
  • Proven ability to communicate technical concepts to:
    • Technical audiences
    • Non-technical stakeholders
    • Intelligence users

What Would be Nice to Have

  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems

Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

Virginia Pay Range
$160,000—$190,000 USD

Why Choose GRVTY

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

• Robust health plan including medical, dental, and vision

• Health Savings Account with company contribution

• Annual Paid Time Off and Paid Holidays

• Paid Parental Leave

• 401k with generous company match

• Training and Development Opportunities

• Award Programs

• Variety of Company Sponsored Events

EEO Statement

GRVTY, is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days. 

Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) 

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.